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Neural space-time model for dynamic multi-shot imaging
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Discover how Ruiming Cao and colleagues have developed a groundbreaking neural space-time model (NSTM) that enhances computational imaging by jointly estimating scene dynamics and motion without prior data. This innovative approach minimizes motion artifacts and enables precise motion dynamics recovery, particularly in advanced microscopy techniques.
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